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Numerical Conditioning Problems and Solutions for Nonparametric i.i.d. Statistical Active Contours
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Hao Wu,Vikram Appia,Anthony Yezzi
Issue Date:June 2013
pp. 1298-1311
In this paper, we propose an active contour model based on nonparametric independent and identically distributed (i.i.d.) statistics of the image that can segment an image without any a priori information about the intensity distributions of the region of ...
Active geodesics: Region-based active contour segmentation with a global edge-based constraint
Found in: Computer Vision, IEEE International Conference on
By Vikram Appia,Anthony Yezzi
Issue Date:November 2011
pp. 1975-1980
We present an active geodesic contour model in which we constrain the evolving active contour to be a geodesic with respect to a weighted edge-based energy through its entire evolution rather than just at its final state (as in the traditional geodesic act...
Localized principal component analysis based curve evolution: A divide and conquer approach
Found in: Computer Vision, IEEE International Conference on
By Vikram Appia,Balaji Ganapathy,Anthony Yezzi,Tracy Faber
Issue Date:November 2011
pp. 1981-1986
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divisions) in an image and then combines these locally accurate segmentation curve...